基于数据挖掘的电信经营分析系统的分析

《基于数据挖掘的电信经营分析系统的分析》由会员上传分享，免费在线阅读，更多相关内容在工程资料-天天文库。

1、ResearchonTelecomBusinessAnalysisSystemBasedonDataMiningABSTRACTWithanincreasingnumberofmobileusers,thecompetitionofmarketisbecomingfiercerandfiercer.Howtowinthecustomersandmaintaintheoriginaloldcustomersbecomesburningquestionofeverytelecomenterprise.Thisprovidespowerforth

2、etelecomenterprisestoestablishmanagementanalysissystemandthemajoroftelecomoperatorswereinvestingalotofresourcesforthesystemconstruction.As4Glicenceissuedandthemoreneedsforhigh-qualitynetworkservicesofcustomergroups,howtocarryoutthehighvaluecustomerswhichmayjointhe4Gnetwork

3、asaccuratelyaspossibleandcarryontheanalysisofcustomerchurnprediction,tomaketheenterpriseprofitsasstableaspossible,isamainproblemofalltelecomenterprises.Dataminingtechnologyisanimportantmethodtoanalysisalargeamountofdatafromthesocietyandexcavatedtherelationshipsinrecentyear

4、s.Inthecommunicationsindustry,thereisalotofcustomerdatainthebusinessanalysissystem,itcanofferhelptotheenterprisedecision-makingbymodelingthroughallkindsofalgorithmsindataminingandanalyzingtothecustomerattributes.K-meansalgorithmandtheBPartificialneuralnetworkalgorithmaremu

5、chwidelyusedinthetelecommunicationbusinessanalysissystemfortheapplicationofdatamining,thebetterclusteringabilityofK-meansalgorithmandtheself-learningabilityofBPneuralnetworkalgorithmmakethemhaveagoodstatusinthedatamining.Thispaperintroducesthenecessityofestablishingmanagem

6、entanalysissystemthroughthecompetitionofthecommunicationmarket,secondly,introducesthedataminingtechnologyandthemanagementanalysissystem.Thirdly,weintroduceK-meansalgorithmandtheBPartificialneuralnetworkalgorithmandimprovethem.inThefocusofthisarticleisestablishingcustomerse

7、gmentationmodelbasedonanimprovedK-meansalgorithmandcustomerchumpredictionmodelbasedonanimprovedBPneuralnetworkalgorithm,andthencombiningtheexperimentalevaluation.Experimentsshowthatthecustomerchurnpredictionmodelwhichbasedonthecustomersegmentationcanmaintainprofitsinthecas

8、eofminimizebusinessinvesting.KEYWORDS:Datamining;Businessanalysissystem;K-means;BPartific